Welcome

Welcome to EPsy 8251: Methods in Data Analysis for Educational Research I. This is the first course of a two-semester statistical methods sequence for doctoral students in education.


Instructor

Andrew Zieffler (zief0002@umn.edu)
Office: Education Sciences Building 178
Office Hours: Tuesday 9:30 AM–10:30 AM; and by appointment

Teaching Assistant

Jonathan Brown (brow3019@umn.edu)
Office: Education Sciences Building 192
Office Hours: Thursdays 1:00 PM–3:00 PM; and by appointment


Classroom


Course Content and Syllabus

The statistical content for EPsy 8251 includes rigorous coverage of estimation and hypothesis testing with a particular focus on ANOVA and multiple linear regression.

  • The course syllabus is available here.


Books and Other Reading Materials

The primary course textbook is available via the University of Minnesota library.

The other course textbook (available via Amazon) is


Schedule

Below is the tenative schedule for the class. The dates are subject to change at the instructor’s discretion. Readings (Unit Preparation) should be completed prior to class.


Calendar


T/R M/W Reading Topic Notes Script
  Sept. 03 Sept. 04 Welcome to EPsy 8251
Unit 01: Introduction to Statistical Computing
Sept. 05 Sept. 09 Introduction to R and RStudio
Sept. 10 Sept. 11 Data Wrangling with dplyr
Sept. 12 Sept. 16 Plotting with ggplot2

Assignments

Below are the due dates for the assignments, as well as links to the RMD and PDF files for each assignment. The due dates may change at the instructor’s discretion. Any revised due dates will be announced in class and posted to the website.


Assignment Due Date (T/R) Due Date (M/W) RMD PDF
Assignment #1: Introduction to Statistical Computing Sept. 19 Sept. 23
Assignment #2: Simple Regression: Description Feb. 20 Feb. 21
Assignment #3: Probability Distributions Mar. 06 Mar. 07
Assignment #4: Evidence and Model Selection Mar. 27 Mar. 28
Assignment #5: Mixed-Effects Regression Models: Cross-Sectional Analysis Apr. 15 Apr. 16
Assignment #6: Mixed-Effects Regression Models: Longitudinal Analysis Apr. 24 Apr. 25
Assignment #7: Logistic Regression May 01 May 02
Optional Assignment #8: Poisson Regression May 08 May 09

Data

Below are the links to the data sets and data codebooks used in the notes, scripts, and assignments.


Name Data Codebook
evaluations.csv
goodreads.csv
keith-gpa.csv
mn-schools.csv
riverview.csv
state-education.csv